Conferencing Device with Beamforming and Echo Cancellation

ABSTRACT

This disclosure describes a conferencing device with beamforming and echo cancellation that includes: a microphone array that further comprises a plurality of microphones oriented to develop a corresponding plurality of microphone signals; a processor configured to execute the following steps: (1) performing a beamforming operation; (2) performing an acoustic echo cancellation operation; (3) post processing; (4) selecting one or more of the post processed signals for transmission to the far end where a signal selector uses the far end signal as information to inhibit the signal selector from changing the selection of the post processed signals while only the far end signal is active.

CROSS REFERENCE TO RELATED APPLICATIONS

This application claims priority and the benefits of the earlier filed Provisional U.S. application Ser. No. 61/495,961, filed 11 Jun. 2011, which is incorporated by reference for all purposes into this specification.

This application claims priority and the benefits of the earlier filed Provisional U.S. application Ser. No. 61/495,968, filed 11 Jun. 2011, which is incorporated by reference for all purposes into this specification.

This application claims priority and the benefits of the earlier filed Provisional U.S. application Ser. No. 61/495,971, filed 11 Jun. 2011, which is incorporated by reference for all purposes into this specification.

Additionally, this application is a continuation of U.S. application Ser. No. 13/493,921, filed 11 Jun. 2012, which is incorporated by reference for all purposes into this specification.

Additionally, this application is a continuation of U.S. application Ser. No. 15/040,135, filed 10 Feb. 2016, which is incorporated by reference for all purposes into this specification.

Additionally, this application is a continuation of U.S. application Ser. No. 15/190,414, filed 23 Jun. 2016, which is incorporated by reference for all purposes into this specification.

Additionally, this application is a continuation of U.S. application Ser. No. 17/187,830, filed 28 Feb. 2021, which is incorporated by reference for all purposes into this specification.

Additionally, this application is a continuation of U.S. application Ser. No. 18/057,991, filed 22 Nov. 2022, which is incorporated by reference for all purposes into this specification.

TECHNICAL FIELD

This disclosure relates to a conferencing device with beamforming and echo cancellation. More specifically, this disclosure relates to a conferencing device that combines a beamforming microphone array with an acoustic echo canceller for conferencing applications.

BACKGROUND ART

A beamforming microphone array (BMA) substantially improves the audio quality in a conferencing apparatus and application. Furthermore, a conferencing solution with a BMA needs to incorporate an acoustic echo canceller (AEC) for full duplex audio. Two strategies, “AEC first” and “beamformer first”, have been proposed to combine an acoustic echo canceller with a beamforming microphone array. The “beamformer first” method performs beamforming on microphone signals and subsequently echo cancellation is applied on the beamformed signals.

Technical Problem

The “beamformer first” method is known to be computationally friendly but requires continuous learning in the echo canceller due to changing characteristics of the beamformer when the number of beams, beam placement, or beam shape changes in response to changing acoustic environments. Often this renders the “beamformer first” method impractical for good conferencing systems. On the other hand, the “echo canceller first” system applies echo cancellation on each microphone signal and subsequently beamforming is applied on the echo cancelled signals.

The “AEC first” system provides better echo cancellation performance but is computationally intensive as the echo cancellation is applied for every microphone in the microphone array. The computational complexity increases as the number of microphones in the microphone array increases. This computational complexity increase results in a corresponding cost increase that places a practical limit on the number of microphones that can be used in a microphone array, which, in turn, limits the maximum benefit that can be obtained from the beamforming algorithm.

Solution to Problem

The present disclosure implements a conferencing solution with a BMA and AEC in the “beamformer first” configuration with fixed beams followed by echo cancellers for each beam. This solution enables an increase in microphones for better beamforming without the need for additional echo cancellers as the number of microphones increases. In addition, the present disclosure provides that the echo cancellers do not need to adapt all the time as a result of large changes in the beamformer because the number of beams and beam pickup patterns are fixed.

Advantageous Effects of Invention

The present disclosure provides good echo cancellation performance without a huge increase in computational complexity for a large number of microphones.

SUMMARY OF INVENTION

This disclosure describes an apparatus and method of an embodiment of an invention that is a conferencing device with beamforming and echo cancellation that includes: a microphone array that further comprises a plurality of microphones where each microphone is configured to sense acoustic waves and the plurality of microphones are oriented to develop a corresponding plurality of microphone signals; a processor, memory, and storage operably coupled to the microphone array, the processor configured to execute the following steps: (1) performing a beamforming operation to combine the plurality of microphone signals from the microphone array into a plurality of combined signals that is greater in number than one and less in number than the plurality of microphone signals, each of the plurality of combined signals corresponding to a different fixed beam; (2) performing an acoustic echo cancellation operation on the plurality of combined signals to generate a plurality of combined echo cancelled signals; (3) post processing the plurality of combined echo cancelled signals by performing at least one additional signal processing process that includes nonlinear processing, adaptive level control, and noise suppression; (4) selecting one or more of the post processed signals for transmission to the far end where a signal selector uses the far end signal as information to inhibit the signal selector from changing the selection of the post processed signals while only the far end signal is active.

The above embodiment of the invention may include one or more of these additional embodiments that may be combined in all combinations with the above embodiment. One embodiment of the invention describes where the voice activity detector uses the far end signal as the input and provides the output to the signal selector to inhibit changing the selected beam while the far end signal is active or the post processed signals are below a threshold. One embodiment of the invention describes where the processor is further configured to enhance the direction of arrival determination with the voice activity detector. One embodiment of the invention describes where the processor is further configured to perform a direction of arrival determination on the plurality of microphone signals and to select one of the post processed signals in response. One embodiment of the invention describes where the processor is further configured to perform a partial acoustic echo cancellation operation on a subset of microphone signals which is greater than one and less than the plurality of microphone signals where the partial acoustic echo cancellation operation is used to determine that the microphone array is in a receive only state. One embodiment of the invention describes where performing the beamforming operation includes applying beamforming weights to the signals from each microphone to achieve a desired pickup pattern that includes a main lobe and sidelobes together with nulls for each fixed beam where one or more of either the main lobe width, the sidelobe levels, or the position of one or more nulls can be controlled to attenuate noise in one particular direction while focusing the beamforming in other directions.

The present disclosure further describes an apparatus and method of an embodiment of the invention as further described in this disclosure. Other and further aspects and features of the disclosure will be evident from reading the following detailed description of the embodiments, which should illustrate, not limit, the present disclosure.

BRIEF DESCRIPTION OF DRAWINGS

The drawings accompanying and forming part of this specification are included to depict certain aspects of the disclosure. A clearer impression of the disclosure, and of the components and operation of systems provided with the disclosure, will become more readily apparent by referring to the exemplary, and therefore non-limiting, embodiments illustrated in the drawings, where identical reference numerals designate the same components. Note that the features illustrated in the drawings are not necessarily drawn to scale. The patent or application file may contain at least one drawing executed in color. Copies of this patent or patent application publication with color drawing(s) will be provided by the Office upon request and payment of the necessary fee. The following is a brief description of the accompanying drawings:

FIG. 1A is a block diagram illustrating a conferencing apparatus according to several embodiments of the present invention.

FIG. 1B is a block diagram illustrating a conferencing apparatus according to several embodiments of the present invention.

FIG. 2 illustrates geometrical representations of a beam for a microphone.

FIG. 3 illustrates a top view and a side view of a conference room including participants and a conferencing apparatus placed on a table and illustrating beams that may be formed by a beamforming microphone array combined with the conferencing apparatus.

FIG. 4 illustrates a top view and a side view of a conference room including participants and a conferencing apparatus mounted on a ceiling and illustrating beams that may be formed by a beamforming microphone array combined with the conferencing apparatus.

FIG. 5 illustrates a top view and a side view of a conference room including participants and a conferencing apparatus mounted on a wall and illustrating beams that may be formed by a beamforming microphone array combined with the conferencing apparatus.

FIG. 6 illustrates elements involved in sensing acoustic waves with a plurality of microphones and signal processing that may be performed on the sensed acoustic waves.

FIG. 7 illustrates the “beamforming first” strategy for processing signals.

FIG. 8 illustrates the “echo cancelling first” strategy for processing signals.

FIG. 9A is a simplified illustration of one embodiment of the present invention showing a hybrid processing strategy for processing signals.

FIG. 9B is an expanded illustration of FIG. 9A that shows one embodiment of the present invention in more detail.

FIG. 10 illustrates the subdividing of the 3-dimensional space for creating a desired beam to pick up sound from a certain direction.

FIG. 11 is a block diagram describing the creation of fixed beams from the microphone input signals and pre-calculated beamforming weights.

FIG. 12 is an input-output block diagram of detectors.

FIG. 13 is a block diagram showing echo cancellation of “M” beams with respect to the reference signal.

FIG. 14 illustrates using a voice activity detector to enhance the direction of arrival determination.

FIG. 15 is a block diagram showing various components of the post processing used to improve the sound quality of audio sent to the far end.

FIG. 16 illustrates the computational complexity of various embodiments relative to number of microphones in a beamforming microphone array.

DESCRIPTION OF EMBODIMENTS

The disclosed embodiments should describe aspects of the disclosure in sufficient detail to enable a person of ordinary skill in the art to practice the invention. Other embodiments may be utilized, and changes may be made without departing from the disclosure. The following detailed description is not to be taken in a limiting sense, and the present invention is defined only by the included claims.

Specific implementations shown and described are only examples and should not be construed as the only way to implement or partition the present disclosure into functional elements unless specified otherwise in this disclosure. A person of ordinary skill in the art will recognize, however, that an embodiment may be able to be practiced without one or more of the specific details, or with other apparatus, systems, assemblies, methods, components, materials, parts, and/or the like. In other instances, well-known structures, components, systems, materials, or operations are not specifically shown or described in detail to avoid obscuring aspects of embodiments of the invention. While the invention may be illustrated by using a particular embodiment, this is not and does not limit the invention to any particular embodiment and a person of ordinary skill in the art will recognize that additional embodiments are readily understandable and are a part of this invention.

Benefits, other advantages, and solutions to problems are shown and described with regard to specific embodiments. However, the benefits, advantages, solutions to problems, and any feature(s) that may cause any benefit, advantage, or solution to occur or become more pronounced are not to be construed as a critical, required, or essential feature of any or all the claims.

In the following description, elements, circuits, functions, and devices may be shown in block diagram form in order not to obscure the present disclosure in unnecessary detail. And block definitions and partitioning of logic between various blocks are exemplary of a specific implementation. It will be readily apparent to a person of ordinary skill in the art that the present disclosure may be practiced by numerous other partitioning solutions. A person of ordinary skill in the art would understand that information and signals may be represented using any of a variety of technologies and techniques. For example, data, instructions, commands, information, signals, bits, symbols, and chips that may be referenced throughout the description may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof. Some drawings may illustrate signals as a single signal for clarity of presentation and description. It will be understood by a person of ordinary skill in the art that the signal may represent a bus of signals, where the bus may have a variety of bit widths and the present disclosure may be implemented on any number of data signals including a single data signal.

The illustrative functional units include logical blocks, functions, modules, circuits, and devices described in the embodiments disclosed in this disclosure to emphasize their implementation independence more particularly. The functional units may be implemented or performed with a general-purpose processor, a special purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described in this disclosure. A general-purpose processor may be a microprocessor, any conventional processor, controller, microcontroller, or state machine. A general-purpose processor may be considered a special purpose processor while the general-purpose processor is configured to fetch and execute instructions (e.g., software code) stored on a computer-readable medium such as any type of memory, storage, and/or storage devices. A processor may also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.

In addition, the illustrative functional units described above may include software, programs, or algorithms such as computer readable instructions that may be described in terms of a process that may be depicted as a flowchart, a flow diagram, a structure diagram, or a block diagram. The process may describe operational acts as a sequential process, many acts can be performed in another sequence, in parallel, or substantially concurrently. Further, the order of the acts may be rearranged. In addition, the software may comprise one or more objects, agents, threads, lines of code, subroutines, separate software applications, two or more lines of code or other suitable software structures operating in one or more software applications or on one or more processors. The software may be distributed over several code segments, modules, among different programs, and across several memory devices. Similarly, operational data may be identified and illustrated in this disclosure within modules and may be embodied in any suitable form and organized within any suitable data structure. The operational data may be collected as a single data set or may be distributed over different locations including over different storage devices. Data stated in ranges include each and every value within that range.

Elements described in this disclosure may include multiple instances of the same element. These elements may be generically indicated by a numerical designator (e.g., 110) and specifically indicated by the numerical indicator followed by an alphabetic designator (e.g., 110A) or a numeric indicator preceded by a “dash” (e.g., 110-1). For ease of following the description, for the most part, element number indicators begin with the number of the drawing on which the elements are introduced or most discussed. For example, where feasible elements in Drawing 1 are designated with a format of 1xx, where 1 indicates Drawing 1 and xx designates the unique element.

Any reference to an element in this disclosure using a designation such as “first,” “second,” and so forth does not limit the quantity or order of those elements, unless such limitation is explicitly stated. Rather, these designations may be used in this disclosure as a convenient method of distinguishing between two or more elements or instances of an element. A reference to a first and second element does not mean that only two elements may be employed or that the first element must precede the second element. In addition, unless stated otherwise, a set of elements may comprise one or more elements.

Reference throughout this specification to “one embodiment”, “an embodiment” or similar language means that a particular feature, structure, or characteristic described in the embodiment is included in at least one embodiment of the present invention. Appearances of the phrases “one embodiment”, “an embodiment” and similar language throughout this specification may, but do not necessarily, all refer to the same embodiment.

In the following detailed description, reference is made to the illustrations, which form a part of the present disclosure, and in which is shown, by way of illustration, specific embodiments in which the present disclosure may be practiced. These embodiments are described in sufficient detail to enable a person of ordinary skill in the art to practice the present disclosure. However, other embodiments may be utilized, and structural, logical, and electrical changes may be made without departing from the true scope of the present disclosure. The illustrations in this disclosure are not meant to be actual views of any particular device or system but are merely idealized representations employed to describe embodiments of the present disclosure. And the illustrations presented are not necessarily drawn to scale. And elements common between drawings may retain the same or have similar numerical designations.

It will also be appreciated that one or more of the elements depicted in the drawings can also be implemented in a more separated or integrated manner, or even removed or rendered as inoperable in certain cases, as is useful in accordance with a particular application. Additionally, any signal arrows in the drawings should be considered only as exemplary, and not limiting, unless otherwise specifically noted. The scope of the present disclosure should be determined by the following claims and their legal equivalents.

As used in this disclosure, the terms “comprises,” “comprising,” “includes,” “including,” “has,” “having,” or any other variation thereof, are intended to cover a non-exclusive inclusion. For example, a process, product, article, or apparatus that comprises a list of elements is not necessarily limited only to those elements but may include other elements not expressly listed or inherent to such process, product, article, or apparatus. Furthermore, the term “or” as used in this disclosure is generally intended to mean “and/or” unless otherwise indicated. For example, a condition A or B is satisfied by any one of the following: A is true (or present) and B is false (or not present); A is false (or not present) and B is true (or present); and both A and B are true (or present). As used in this disclosure, a term preceded by “a” or “an” (and “the” when antecedent basis is “a” or “an”) includes both singular and plural of such term, unless clearly indicated otherwise (i.e., that the reference “a” or “an” clearly indicates only the singular or only the plural). Also, as used in the description in this disclosure, the meaning of “in” includes “in” and “on” unless the context clearly dictates otherwise.

The claims following this written disclosure are expressly incorporated into the present written disclosure, with each claim standing on its own as a separate embodiment. This disclosure includes all permutations of the independent claims with their dependent claims. Further, additional embodiments capable of derivation from the independent and dependent claims that follow are also expressly incorporated into the present written description.

To aid any Patent Office and any readers of any patent issued on this disclosure in interpreting the included claims, the Applicant(s) wish to note that they do not intend any of the appended claims or claim elements to invoke 35 U.S.C. 112(f) (previously U.S.C. 112(6)) unless the words “means for” or “step for” are explicitly used in that claim. Additionally, if any elements are specifically recited in means-plus-function format, then those elements are intended to be construed to cover the corresponding structure, material, or acts described in this disclosure or additional equivalents in accordance with 35 U.S.C. 112(f) (previously 35 U.S.C. 112(6)).

Embodiments of the present disclosure include a conferencing apparatus that combines a beamforming microphone array with an acoustic echo canceller. The present invention improves the acoustic quality of beamforming microphone arrays with echo cancellation by performing this echo cancellation efficiently. The conferencing apparatus described in the present disclosure is applicable to both teleconferencing and video conferencing environments as the present invention is focused on the audio aspects of the conferencing environment.

A good conferencing device requires good quality of the local talker audio and cancellation of the far end audio. The local talker is often picked up with directional microphones or beamforming microphone arrays for good audio quality. The beamforming microphone array uses multiple microphones to create a beam in the local talker's direction to improve audio quality. The audio quality improves with an increase in the number of microphones used in the beamforming microphone array although a point of diminishing returns will eventually be reached. In a conferencing situation, audio of the far end talker picked up by the beamforming microphone array, commonly referred to as echo, needs to be cancelled before being transmitted to the far end. This cancelling is achieved by an acoustic echo canceller (AEC) that uses the loudspeaker audio of the far end talker as a reference. When designing or using a beamforming microphone array, there are multiple ways of doing acoustic echo cancellation and beamforming to produce the desired results.

FIG. 1A illustrates a conferencing apparatus 100 for one embodiment of the present disclosure. The conferencing apparatus 100 may include elements for executing software applications as part of embodiments of the present disclosure. Thus, the system 100 is configured for executing software programs containing computing instructions and includes one or more processors 110, memory 120, one or more communication elements 150, and user interface elements 130, and a beamforming microphone array (BMA), 135. The system 100 may also include storage 140. The conferencing apparatus 100 may be included in a housing 190. Other embodiments of the conferencing apparatus can include having the various components in one or more housings connected by communication elements as described below.

The processor 110 may be configured to execute a wide variety of applications including the computing instructions to carry out embodiments of the present disclosure.

The memory 120 may be used to hold computing instructions, data, and other information for performing a wide variety of tasks including performing embodiments of the present disclosure. By way of example, and not limitation, the memory 120 may include Static Random Access Memory (SRAM), Dynamic RAM (DRAM), Read-Only Memory (ROM), Flash memory, and the like.

Information related to the system 100 may be presented to, and received from, a user with one or more user interface elements 130. As non-limiting examples, the user interface elements 130 may include elements such as LED status indicators, displays, keyboards, mice, joysticks, haptic devices, microphones, speakers, cameras, and touchscreens.

The communication elements 150 may be configured for communicating with other devices and or communication networks. As non-limiting examples, the communication elements 150 may include elements for communicating on wired and wireless communication media, such as for example, serial ports, parallel ports, Ethernet connections, universal serial bus (USB) connections IEEE 1394 (“Firewire”) connections, Bluetooth wireless connections, 802.1 a/b/g/n type wireless connections, and other suitable communication interfaces and protocols.

The storage 140 may be used for storing relatively large amounts of non-volatile information for use in the computing system 100 and may be configured as one or more storage devices. By way of example, and not limitation, these storage devices may include computer-readable media (CRM). This CRM may include, but is not limited to, magnetic and optical storage devices such as disk drives, magnetic tapes, CDs (compact disks), DVDs (digital versatile discs or digital video discs), semiconductor devices such as USB Drives, SD cards, ROM, EPROM, Flash Memory, other types of memory sticks, and other equivalent storage devices.

Software processes illustrated herein are intended to illustrate representative processes that may be performed by the systems illustrated herein. Unless specified otherwise, the order in which the process steps are described is not intended to be construed as a limitation, and steps described as occurring sequentially may occur in a different sequence, or in one or more parallel process streams. It will be appreciated by those of ordinary skill in the art that many steps and processes may occur in addition to those outlined in flow charts. Furthermore, the processes may be implemented in any suitable hardware, software, firmware, or combinations thereof. When executed as firmware or software, the instructions for performing the processes may be stored on a computer-readable medium.

By way of non-limiting example, computing instructions for performing the processes may be stored on the storage 140, transferred to the memory 120 for execution, and executed by the processors 110. The processor 110, when executing computing instructions configured for performing the processes, constitutes structure for performing the processes and can be considered a special-purpose computer when so configured. In addition, some or all portions of the processes may be performed by hardware specifically configured for carrying out the processes.

In some embodiments, an orientation sensor 160 may be included. As a non-limiting example, accelerometers configured to sense acceleration in at least two substantially orthogonal directions may be used. As another non-limiting example, a multi-axis accelerometer may be used. Of course, other types of sensors may also be used, such as for example magnetometers to sense magnetic fields of the Earth.

Single- and multi-axis models of accelerometers may be used to detect magnitude and direction of the proper acceleration and can be used to sense orientation.

One particular type of user interface element 130 used in embodiments of the present disclosure is a beamforming microphone array (BMA) 135 that comprises a plurality of microphones.

Thus, accelerometers mounted in the housing 190 can be used to determine the orientation of the housing 190. If the BMA 135 is also mounted in the housing 190, the orientation of the BMA 135 is determined because it is in a fixed position relative to the housing 190.

Directional microphones are often used in a conference to capture participant's audio. In a conference, microphones are usually placed on a table or hung from the ceiling and are manually positioned so that a participant's audio is in the pick-up pattern of the microphone. Since, the pick-up patterns of these microphones are fixed, more often than not one type of microphone, say a tabletop microphone, may not work for another type of installation, say a ceiling installation. Thus, an installer may need to know the type of installation (e.g., tabletop or ceiling), the angle of participants relative to the microphones, and the number of participants before installing a correct set of microphones. One skilled in the art will appreciate that the disclosed invention is applicable to a variety of microphones including various directional microphones, omnidirectional microphones, and other types of microphones. One embodiment of the disclosed invention uses omnidirectional microphones.

Directional microphones may be used in conferencing applications to perform spatial filtering to improve audio quality. These microphones have a beam pattern that selectively picks up acoustic waves in a region of space and rejects others.

In some embodiments of the present disclosure, the conferencing apparatus 100 uses a BMA 135 that can be installed in a number of positions and configurations, and beams for the microphones can be adjusted with base level configurations or automatically bring participants into the pick-up pattern of the beamforming microphone array 135 based on the orientation and placement of the conferencing apparatus 100.

FIG. 1B illustrates another embodiment of the present invention that illustrates the BMA 135 being located outside of the housing 190. In this embodiment, the BMA 135 can be located further away from the main processing elements of the housing 190 and connect to those elements by way of the communication elements 150 that could include for example a USB connection, or a Dante connection. In this embodiment, the BMA 135 may further include its own processor, memory, and storage that is separate from the main conferencing apparatus in housing 190.

FIG. 2 illustrates geometrical representations of a beam for a microphone. The center of the beam direction 250 extends from the microphone with beam width 210. The beam pattern for a microphone is usually specified with the center of the beam direction 250 that includes an azimuth angle 220, an elevation angle 230, and beam width 210.

Beamforming is a signal processing technique carried out by the processor 110 using input from the beamforming microphone array 135. Various signal-processing characteristics of each of the microphones in the beamforming microphone array 135 may be modified. The signals from the various microphones may be combined such that signals at particular angles experience constructive interference while others experience destructive interference. Thus, beamforming can be used to achieve spatial selectivity such that certain regions can be emphasized (i.e., amplified/unsuppressed) and other regions can be de-emphasized (i.e., attenuated). As a non-limiting example, the beamforming processing may be configured to attenuate sounds that originate from the direction of a door to a room or from an Air Conditioning vent.

Beamforming may use interference patterns to change the directionality of the array. In other words, information from the different microphones may be combined in such a way that the expected pickup pattern is preferentially observed. As an example, beamforming techniques may involve combining delayed signals from each microphone at slightly different times so that every signal reaches the output at the correct time to form the desired beam pickup pattern.

Moreover, signals from each microphone may be amplified by a different amount. Different weighting patterns may be used to achieve the desired polar patterns. As a non-limiting example, a main lobe may be produced together with nulls and sidelobes. As well as controlling the main lobe width (the beam) and the sidelobe levels, the position of a null can be controlled. This is useful to attenuate noise arriving at the BMA from one particular direction, while not attenuating audio arriving at the BMA from other directions. Adaptive beamforming algorithms may be included to automatically adapt to different situations.

Embodiments of the present disclosure include a beamforming microphone array, where the elevation and azimuth angles of the beams can be programmed with software settings or automatically adapted for an application. In some embodiments, various configurations for the conferencing apparatus, such as tabletop, ceiling, and wall configurations can be automatically identified with the orientation sensor 160 in the conferencing apparatus 100.

In order to balance computational complexity of the complete system and the number of microphones used to perform beamforming, the present invention discloses a new architecture in which echo cancellation is performed on the fixed beams. A fixed beam is defined as a beam that is defined with pre-computed parameters rather than being adaptively pointed to look in different directions on-the-fly. The pre-computed parameters are configured prior to use of the beamforming microphone array in a conference. The spatial direction in which a beam does not attenuate sound, or alternatively, the spatial direction in which the beam has maximum gain, is called the look-direction of that beam.

FIG. 3 illustrates a top view and a side view of a conference room including participants and a conferencing apparatus 100 in a table configuration and illustrating beams that may be formed by the BMA. Beams 321, 322, 323, 324, 325, and 326 can be configured with direction, beamwidth, amplification levels, and spatial selectivity to obtain complete and high-quality coverage of participants, 311, 312, 313, 314, 315, and 316, respectively.

While creating beams, two things must be kept in mind. First, the narrower the beam, the better may be the sound quality (i.e. noise and reverberation rejection) of the local audio due to beamforming. Second, the combined look-directions of all of the beams should cover the desired space where a participant may be present. A situation with six beams around a microphone array is shown in FIG. 3 in which at least one of the beams will pick up any talker sitting around the table. While a narrow beam may improve the sound quality, a very narrow beam may create other problems, specifically, voids in coverage or distortion of speech picked up slightly off of the main direction of look of the beam. In practice, having 3 to 8 beams to cover all participants around a microphone array is considered a good solution. A considerably higher number of microphones than (3 to 8) is required before the full potential of the directional filtering in a conference situation due to beamforming can be achieved. In some embodiments of the present disclosure, it has been found that 20 to 30 microphones can provide good performance.

FIG. 4 illustrates a top view and a side view of a conference room including participants and a conferencing apparatus 100 in a ceiling configuration and illustrating beams that may be formed by a BMA 135. Beams 421, 422, 423, 424, 425, and 426 can be configured with direction, beamwidth, amplification levels, and interference patterns to obtain quality coverage of participants, 411, 412, 413, 414, 415, and 416, respectively.

FIG. 5 illustrates a top view and a side view of a conference room including participants and a conferencing apparatus 100 in a wall configuration and illustrating beams that may be formed by the BMA 135. Beams 521, 522, 523, 524, 525, and 526 can be configured with direction, beamwidth, amplification levels, and interference patterns to obtain quality coverage of participants, 511, 512, 513, 514, 515, and 516, respectively.

In FIGS. 3-5 , the azimuth/elevation angles and beamwidths may be fixed to cover desired regions. As a non-limiting example, the six beams illustrated in FIG. 3 and FIG. 4 can each be configured with beamwidths of 60 degrees with the BMA 135. The elevation angle of each beam is designed to cover most people sitting at a table. As a non-limiting example, an elevation angle of 30 degrees may cover most tabletop applications. On the other hand, for a ceiling application, the elevation angle is usually higher as shown in FIG. 4 . As a non-limiting example, an elevation angle closer to 60 degrees may be appropriate for a ceiling application. Finally, for a wall application, as shown in FIG. 5 , the elevation angle may be appropriate at or near zero degrees.

While these default elevation angles may be defined for each of the orientations, the user, installer, or both, have flexibility to change the elevation angle with software settings at the time of installation or before a conference.

FIG. 6 illustrates elements involved in sensing acoustic waves with a plurality of microphones and signal processing that may be performed on the sensed acoustic waves. The plurality of microphones 135-1 through 135-N can be configured into a BMA 135. In an acoustic environment on the left of FIG. 6 , an acoustic source 610 (e.g., a participant) may generate acoustic waves 612. In addition, speakers 620A and 620B may generate acoustic waves 622A and 622B respectively. A BMA 135 senses the acoustic waves (612, 622A, and 622B). Amplifiers 632 may filter and modify the analog signals to the speakers 620A and 620B and from BMA 135. Converters 640 in the form of analog-to-digital converters and digital-to-analog converters convert signals between the analog domain and the digital domain. Cables 634 route the signals between amplifiers 632 and converters 640. Various signal-processing algorithms may be performed on the digital signals, such as, for example, acoustic echo cancellation using an acoustic echo canceller or AEC 650, beamforming 660, and noise suppression 670. The resulting signals are transmitted and received through communications element 680 that receives the far end audio signal 682 and transmits the local audio signal 681. Various communication techniques can be used for the transmission of the audio signal, such as, for example, using a Voice over Internet Protocol (VOIP) application.

The following discussion concentrates on the signal processing operations and how beamforming and acoustic echo cancellation may be performed in various configurations. Two strategies, “echo canceller first” and “beamformer first,” have been employed to combine an acoustic echo canceller (AEC) with a beamforming microphone array (BMA).

The “beamformer first” method performs beamforming on microphone signals and subsequently echo cancellation is applied on the beamformed signals. The “beamformer first” method is relatively computational friendly but requires continuous learning in the echo canceller due to changing characteristics of the beamformer. Often these changes render the “beamformer first” method impractical for good conferencing systems. The “beamformer first” configuration may use microphone signals to select a pre-calculated beam based on a direction of arrival (DOA) determination. Subsequently, the echo from the far end audio in the beamformer output signal is cancelled with an AEC.

On the other hand, an “echo canceller first” system applies echo cancellation on each microphone signal and subsequently beamforming is applied on the echo cancelled signals based on the DOA determination. This system provides better echo cancellation performance but can be computationally intensive for a large BMA as the echo cancellation is applied for every microphone in the microphone array. The computational complexity increases with an increase in the number of microphones in the microphone array. This computational complexity often limits the number of microphones used in a microphone array and therefore prevents achievement of the substantial benefit from the beamforming algorithm with more microphones.

In terms of spatially filtering the audio, both configurations are equivalent. However, echo cancellation performance can be significantly different for one application to other. Specifically, as the beam is moving, the echo canceller needs to readjust. In a typical conferencing situation, talker directions keep switching and, therefore, the echo canceller needs to readjust which may result in residual echo in the audio sent to the far end. Some researchers have recommended combining beamformer and echo canceller adaptation to avoid this problem, however, in our experiments that did not get rid of residual echo. On the other hand, since echo is cancelled beforehand in the “AEC first” method, the echo canceller performance is not affected as beam switches. Often, the “AEC first” configuration is recommended for the beamformer/AEC system. One of the examples of such a system is Microsoft's AEC/beamformer implementation in the DirectX technology, which is shown in FIG. 6 .

While the “AEC first” configuration provides acceptable performance for the beamformer/AEC implementation, the computational complexity of this configuration is significantly higher than the “beamformer first” system. Moreover, the computation complexity to implement the “AEC first” increases significantly as the number of microphones used to create the beam increases. Therefore, for a given computational complexity, the maximum number of microphones that can be used for beamforming are lower for the “AEC first” than the “beamformer first” setup. Using a comparatively larger number of microphones can increase the audio quality of the participants, especially when a participant moves farther away from the microphones.

In FIGS. 7 through 9B, thicker lines represent multichannel signals with the number of lines illustrated, whereas thinner lines represent a single channel signal.

FIG. 7 illustrates the “beamforming first” strategy for processing signals. The BMA 135 generates a set of N microphone signals 138, where the BMA further comprises a plurality of microphones 135-1 to 135-N. This “beamformer first” configuration uses the N set of microphone signals 138 to select a beam based on the Direction of Arrival (DOA) determination process/module 750. The far end signal 744 is converted to acoustic signals by speaker 720 which are then picked up by BMA 135. The DOA module 750 directs a beamforming process with beamformer 730 using DOA signal 755 to select the pre-calculated beam that properly combines the microphone signals 138 into a combined signal 735 that points in the direction indicated by the DOA module 750. An acoustic echo canceller (AEC) 740 then performs acoustic echo cancellation on the combined signal 735 using the far end signal 744 to create a combined echo cancelled signal 745 which is sent to the far end.

FIG. 8 illustrates the “echo cancelling first” strategy for processing signals. The BMA 135, from a plurality of microphones 135-1 to 135-N, generates a set of N microphone signals 138. In this “AEC first” configuration, an acoustic echo cancellation process using an acoustic echo canceller (AEC) 830 performs acoustic echo cancellation on each microphone signal 138 separately using the far end signal 844 as a reference input in conjunction with the acoustic signals from speaker 820. Next, a set of N echo cancelled signals 835 are presented to a beamforming process 840. A Direction of Arrival (DOA) determination process/module 850 directs a beamforming process with beamformer 840, by way of the direction of arrival determination and using the DOA signal 855, to properly select the pre-calculated beam or beams that combines the echo cancelled signals 835 into a combined echo cancelled signal 845. Since echo is cancelled beforehand in the “AEC first” method, the echo canceller performance is not affected by beam switches. The “AEC first” configuration first cancels the echo from the audio of each microphone in the BMA and the beam is created from N echo cancelled signals, and then one or more beams are selected for transmission to the far end based on the DOA module 850 based on the direction of arrival determination. In terms of spatially filtering the audio, both configurations are substantially equivalent.

In order to balance computational complexity of the complete system and number of microphones to do beamforming, we created a conferencing solution with a beamformer and an echo canceller in a hybrid configuration with a “beamformer first” configuration to generate a number of fixed beams followed by echo cancellers for each fixed beam. In other words, we created M fixed beams from N microphones and subsequently applied echo cancellation on each beam. In conferencing applications with beamforming, we found that increasing the number of beams does not add as much benefit as increasing the number of microphones i.e. M<<N. Stated differently, this hybrid configuration allows for an increase in the number of microphones for better beamforming without the need for additional echo cancellers as the number of microphones is increased. Therefore, while we use a large number of microphones to create good beam patterns, the increase in computational complexity due to additional echo cancellers is significantly smaller than the “AEC first” configuration. In addition, the echo cancellers do not need to continually adapt as a result of large changes in the beamformer because the number of beams and beam pickup patterns may be held constant. Furthermore, since the beam is selected after the echo cancellation, the echo cancellation performance is not affected due to a change in the beam's location. The number of echo cancellers does not change by changing the number of microphones in the method of this invention. Furthermore, since the beamforming is done before the echo cancellation, the echo canceller also performs better than the “AEC first” setup. Therefore, embodiments of the present disclosure provide good echo cancellation performance and the increase in the computational complexity for a large number of microphones is smaller than the “AEC first” method.

One embodiment of the disclosed invention additionally employs post-processing individually for each beam to selectively reduce distortions from each beam. In a typical conference situation, different spatial directions, which may correspond to different beams, may have different characteristics, such as a noise source may be present in the look-direction of one beam and not the other. Therefore, post-processing in that direction may require different treatment that is possible in the disclosed implementations and not seen in other solutions.

FIG. 9A is a simplified illustration of one embodiment of the present invention showing a hybrid processing strategy for processing signals, and illustrates processing involved in sensing acoustic waves where signals from the microphones are combined, and then acoustic echo cancellation is performed on the combined signals. In order to balance computational complexity of the complete system and the number of microphones to do beamforming, this embodiment creates M combined echo cancelled signals 945 to present as the final output signal 965. The BMA 135, using a plurality of microphones 135-1 through 135-N, generates a set of N microphone signals 138. In this hybrid configuration, a beamforming module (beamformer) 930 performs a beamforming process that forms M fixed beams 935 from N microphone signals 138. An Acoustic Echo Canceller (AEC) process/module 940 performs acoustic echo cancellation on each of the M fixed beams 935 separately using the far end signal 964 as a reference input. As a result, M combined echo cancelled signals 945 are generated. A signal selection module (selector) 901, such as a multiplexer or other signal selection module, controlled by the Direction of Arrival determination (DOA) process/module 950 that performs a direction of arrival determination, and using the DOA signal 902, selects one more of the M combined echo cancelled signals 945 as a final output signal 965, which is sent to the far end.

FIG. 9B is an expanded illustration of FIG. 9A that shows more detailed embodiments of the present invention. The BMA 135, using a plurality of microphones 135-1 through 135-N, generates a set of N microphone signals 138. The microphones are sensing acoustic waves 907 that are generated by the acoustic source 905, which is typically a talker in a conference environment. In addition, BMA 135 is sensing acoustic waves 926 that are generated by speaker 920 which is receiving the far end audio signal 964 from the far end of the conference. Before the far end signal 964 gets to speaker 920, it goes through digital to analog converter 924 and amplifier 922. As the acoustic waves 907 and 926 are sensed by the microphones 135-1 through 135-N, the corresponding microphone signals go through preamplifiers 914-1 through 914-N and then through analog to digital converters 916-1 through 916-N. The set of N microphone signals 138 may be subject to an additional analysis through the analysis module (BMA Analyzer) 912 before going through the beamforming process. A beamforming module (Beamformer) 930 takes the set of N microphone signals 138 and performs a beamforming process that forms M fixed beams 935. An Acoustic Echo Canceller (AEC) module 940 performs acoustic echo cancellation on each of the M fixed beams 935 separately using the far end reference signal 970 as a reference input in conjunction with the acoustic waves from speaker 920 that are received through BMA 135. Reference signal 970 must be processed through analysis module (far end analyzer) 910 if analysis module 912 is included in the embodiment. In addition, the AEC module 940 receives an RX ONLY signal 971 from the Detectors Module (Detectors) 955. The far end signal 964 may be subject to an additional analysis through the analysis module (far end analyzer) 910 before proceeding as far end reference signal 970 to other modules such as the AEC module 940. The AEC module 940 produces M combined echo cancelled signals 945. Another embodiment of the disclosed invention includes Post Processing module (Post Processor) 931 that performs post processing on the M combined echo cancelled signals 945, in conjunction with the fixed beams 935, and the far end reference signal 970. In addition, the Post Processing module 931 receives information from the Detectors module 955 by way of the RX ONLY signal 974, the SILENCE signal 975, and M Detectors signal 980. The Post Processing module 931 is discussed in more detail in another part of the present disclosure. The Post Processing module 931 produces the post processed M combined echo cancelled signals 946. A Signal Selection Module (Selector) 901, such as a multiplexer or other signal selection module, controlled by the Direction of Arrival (DOA) process/module 950 and the direction of arrival determination, using the DOA module 950 and DOA signal 902, selects one or more of the post processed M combined echo cancelled signals 946 as an output signal 947. A synthesis module (Synthesizer) 948 may provide additional signal processing to the output signal before being transmitted to the far end as far end signal 965. Synthesis module 948 is usually present if analysis modules 910 and 912 are included.

Another embodiment of the disclosed invention includes a partial acoustic echo canceller (Partial AEC) 951 that receives the set of N microphone signals 138 and performs a partial acoustic echo cancellation on a subset of the microphone signals which is greater than one and less than N microphone signals. The partial acoustic echo canceller 951 uses the partial acoustic echo cancellation operation in conjunction with the RX ONLY signal 972 from the Detectors 955 to improve the DOA estimate for the local end talk(s). And the partial acoustic echo canceller 951 passes through up to N echo cancelled signals 139.

Another embodiment of the disclosed invention includes a Voice Activity Detector (VAD) 952 that enhances the direction of arrival determination. The voice activity detector process is discussed in more detail below. The Voice Activity Detector 952 uses information from up to N microphone signals 139 to see if there is voice activity on the microphone signals being received by the BMA 135. In practice, the VAD Detector 952 often uses 1 or 2 microphone signals to determine the VAD signal 953 for lower computation complexity. The Voice Activity Detector 952 sends the voice activity detector signal 953 to the DOA module 950.

The Direction of Arrival (DOA) determination process/module 950 receives the set of N microphone signals 139 and the voice activity detector signal 952 in conjunction with the RX ONLY signal 973 from the Detectors 955 to perform the direction of arrival determination that sends the DOA signal 902 to the Signal Selection Module 901. One embodiment of the disclosed invention provides that the DOA Module 950 and the Signal Selection Module 901 use the far end signal 964 as information to inhibit the Signal Selection Module 901 from changing the selection of the combined echo cancelled signals while only the far end signal is active. The DOA Module receives the far end signal information by way of the Detectors Module 955. The direction of arrival determination is discussed in more detail below.

Another embodiment of the disclosed invention includes a Detectors Module 955 that helps control the conferencing system for better output sound quality. The Detectors Module 955 provides the DOA Module 950 with RX ONLY signal 973; the partial acoustic echo canceller 951 with RX ONLY signal 972; the AEC with RX ONLY signal 971; and the Post Processing Module 931 with RX ONLY signal 974, the SILENCE signal 975, and M Detectors signal 980.

FIG. 10 illustrates 1000 the subdividing of the 3-dimensional space 1002 for creating a desired beam 1004 to pick up sound from a certain direction 1006. The fixed beams are created from the time, frequency, or subband domain signals of the “N” microphone signals. Specifically, pre-calculated beamforming weights for each beam are multiplied or convolved with the input microphone time, frequency, or subband domain signals. Subsequently, the outputs of each of these multiplications/convolutions are added to provide time, frequency, or subband signals for that beam. There are multiple ways to obtain the pre-calculated beamforming weights for creating fixed beams to filter out desired spatial directions—more commonly known as beamforming in the literature. Some of the known techniques for beamforming are delay-and-sum beamformer, filter-and-sum beamformer (also called superdirectional beamformers), and several other optimization-based beamformers (such as minimax, weighted least-squares etc.). There also exists a different class of beamforming algorithms known as differential beamforming; however, they are more suited for close talking microphones such as podium microphones and not for conference microphones. The various beamforming designs differ in the beam shape and in the ability of reducing uncorrelated and correlated noise. A detailed discussion of these properties is not included in the present disclosure; however, it must be mentioned that pre-calculated beamforming weights calculated with an optimization method (that will be described later) was found most suitable for our application. Apart from various algorithms used to design weights, pre-calculated beamforming weights can be designed: to do beamforming in the time-domain, frequency-domain, or subband-domain; for real-valued signals or complex-valued signals; for a narrowband or wideband implementation.

When implemented correctly, the above differences do not affect the output sound quality; however, they may differ in the overall system delay and the computational complexity. The choice of the design method for creating pre-calculated beamforming weights can be made based on the system requirements. In the implementation of the present disclosure, we designed the beamforming weights for the subband-domain complex-valued signals assuming narrowband implementation. The weights are pre-calculated using a weighted least-squares method with multiple constraints, for each subband, microphone and beam, and are stored in memory. To facilitate the presentation, we need to mathematically represent a direction in space and define some other notations. Let a steering vector for the direction in space (θ,ϕ) with respect to the i^(th) microphone in the beamformer and for the j^(th) subband be:

$\begin{matrix} {{A\left( {j,\theta,\phi} \right)} = \begin{bmatrix} e^{{- j}2\pi{{\tau({0,\theta,\phi})}/N_{s}}} \\ e^{{- j}2\pi{{\tau({1,\theta,\phi})}/N_{s}}} \\  \vdots \\ e^{{- j}2\pi{{\tau({{N - 1},\theta,\phi})}/N_{s}}} \end{bmatrix}} & (1) \end{matrix}$ where

τ(i,θ,ϕ)=r _(i) cos(θ−θ_(i))cos(ϕ−ϕ_(i))/c

and (r_(i),θ_(i),ϕ_(i)) are the polar coordinates of the i^(th) microphone, N is the number of microphones, N_(s) is the number of subbands, and c is the speed of sound in air.

The steering vector A(j,θ,ϕ) can be used to approximately represent sound coming from direction (θ,ϕ) in space under far field assumption and if the subbands are properly designed. The time-domain overlap in the subband-design process should be at least as long the maximum time-delay between two microphones in the microphone array. The far field assumption is valid for our application. We designed the subbands so that the steering vector can be used to represent the signal coming from any direction in space on various microphones. Furthermore, let the microphone subband signal for the i^(th) microphone, i=0 . . . N−1, and j^(th) subband, j=0 . . . N_(s)−1, at time n be x_(i)(n,j) and the beamforming weight for the i^(th) microphone, j^(th) subband and k^(th) beam, k=0 M−1, be w_(i) ^(k)(j), then the signal vector of the microphone signals for the j^(th) subband is denoted as x(n,j)=[x₀(n,j) x₁(n,j) . . . x_(N-1)(n,j)]^(H), the signal vector of the subband signals for the i^(th) microphone is denoted as x_(i)(n)=[x_(i)(n,0) x_(i)(n,1) . . . x_(i)(n, N_(s)−1)]^(H) and the vector of the beamforming weights for the j^(th) subband and k^(th) beam is denoted as w^(k)(j)=[w₀ ^(k)(j) w₁ ^(k)(j) . . . w_(N-1) ^(k)(j)]^(H), where H denotes the Hermitian operation. With the above notation, the beamforming weight vector w^(k)(j) for the j^(th) subband and the k^(th) beam is obtained using a weighted least-squares method that optimizes weighted mean-squares-error at N_(θ) azimuth angles and N_(ϕ) elevation angles. The spatial directional grid points are shown in FIG. 10 . The desired beam shape B(θ,ϕ) is specified by assigning a value close to 1 (no attenuation) for look-direction and small values to other directions where high attenuation is required. The look-direction the beam is shown with solid fill in FIG. 10 .

FIG. 11 is a block diagram 1100 describing the creation of fixed beams from the microphone input signals and pre-calculated beamforming weights. The fixed beams are shown as beams 1106-1 through 1106-M. The microphone input signals are shown as 1102-1 through 1102-N. And the pre-calculated beamforming weights for the specified groups are shown as 1104-1 through 1104-M.

With the previous description, the problem of finding the beamformer weights for the j^(th) subband and k^(th) beam can be written as:

$\begin{matrix}  & (2) \end{matrix}$ ${w^{k}(j)} = {\min\limits_{w^{k}(j)}{\sum\limits_{l_{\phi} = 1}^{N_{\phi}}{\sum\limits_{l_{\theta} = 1}^{N_{\theta}}{F_{l}{❘{{{A^{H}\left( {j,\frac{2\pi l_{\theta}}{N_{\theta}},\frac{2\pi l_{\phi}}{N_{\phi}}} \right)}{w^{k}(j)}} - {B\left( {\frac{2\pi l_{\theta}}{N_{\theta}},\frac{2\pi l_{\phi}}{N_{\phi}}} \right)}}❘}^{2}}}}}$ subjectto A(j, θ₀, ϕ₀)w^(k)(j) = 1(w^(k)(j))^(H)R_(n)w^(k)(j) < δ_(w)A(j, θ_(m), ϕ_(m))w^(k)(j) < δ_(s) , m = 0…N_(m) − 1

where F₁ are the weights to emphasize the passband (directions in space with no attenuation) and stopband (directions in space with attenuation) behavior, (θ₀, ϕ₀) is the center of the desired beam, R_(n) is the N×N covariance matrix for the spatial noise at these microphones, and the set of values (θ_(m),ϕ_(m)) represent spatial directions where a beam has higher side lobes or unwanted audio sources (jammers) are present. The constants δ_(w) and δ_(s) are small positive numbers.

The above optimization problem is solved to generate the pre-calculated beamforming weights, which are stored in memory and are used according to FIG. 11 to create “M” beams from “N” microphone signals.

FIG. 12 is an input-output block diagram 1200 of the Detectors Module 1202. The Detectors Module 1202 controls the conferencing system for better output sound quality. The Detectors Module 1202 uses “M” fixed beams 1204 after fixed beamforming and the reference signal 1206 to indicate various states of the system. These states are “RX ONLY”, “TX ONLY”, “DOUBLE TALK”, “UNKNOWN” and “SILENCE”. “RX ONLY” 1210 and “SILENCE” 1212 are the same for all the beams; whereas “DOUBLE TALK”, “TX ONLY” and “UNKNOWN” are represented by “M” detectors 1208, one for each beam. The Detectors Module 1202 uses peak meters and RMS meters on the fixed beam and reference signals and compare them with various thresholds to indicate various states of the system. The “RX ONLY” 1210 state indicates the presence of audio at beams/microphones due to the far-end audio and not due to the local audio. The acoustic echo canceller (AEC) is adapted during the “RX ONLY” state. In the “RX ONLY” state the acoustic echo cancellers for the “M” beams are updated as shown in FIG. 12 . The “TX ONLY” state for a beam indicates presence of the local audio and not the far end audio. “DOUBLE TALK” indicates presence of both the far end audio and the local audio. “SILENCE” 1212 indicates no activity in the room. This state is used for the background noise calculation. “UNKNOWN” indicates when detectors cannot distinguish between one state from another. These detector signals are used by the AEC Module, the DOA Module, and the Post Processing Module.

FIG. 13 is a block diagram 1300 showing echo cancellation of “M” beams with respect to the reference signal. The input beams 1304-1 through 1304-M have Adaptive Filters (AF) 1308-1 through 1308-M applied to produce the echo cancelled beams 1306-1 through 1306-M with respect to reference signal 1302 from the far end. The direction of arrival determination does not use all the microphones for determining a talker's direction in a room, which is done to save computational complexity. The DOA determination suggests which beam or beams (after echo cancellation and post-processing as shown in FIG. 9B) to select to transmit to the far-end. The selection of a beam is also sometimes referred to as pointing to a beam. It also uses echo cancelled microphone signals as shown in FIG. 9B to avoid pointing to the far-end audio because beams are designed to pick up the local audio in the room. If a beam points to the far end audio (towards the loudspeaker direction in the room) while the local talker is talking, the local talker's audio will be attenuated, which is not desirable. The direction of arrival determination finds the talker's direction using the steered response power-phase transform (SRP-PHAT) method, which is a well-known method employed in the design of beamforming microphone arrays. The algorithm is an extension of the generalized cross correlation (GCC) algorithm pioneered by Knapp and Carter in 1976, that was later extended by Rabinkin in 1996, and reached its current form in the works of Johansson in 2002 and later in 2005. The SRP-PHAT algorithm produces a source position estimate based on the time delay difference of arrival of a wave front across two or more microphone elements. The algorithm operates by extracting the phase difference between the microphone signals from an estimate of their cross spectral density (CSD) function of the N_(d)<N microphone signals used to find the talker's direction. As an example, the cross spectral density between microphones can be calculated with a running average using a single pole IIR filter with a decay constant λ_(d) as:

X _(lm)(n,k)=λ_(d) X _(lm)(n−1,k)+(1−λ_(d))x _(l)(n,k)x _(m)*(n,k)  (3)

Once the cross spectral densities are known, the talker's direction can be found by maximizing the SRP-PHAT index in the desired look region (DLR) directions. The SRP-PHAT index is given by:

$\begin{matrix}  & (4) \end{matrix}$ ${\left( {\theta_{d},\phi_{d}} \right)(n)} = {\arg\underset{{({\theta,\phi})} \in {DLR}}{\max\limits_{({\theta,\phi})}}{\sum\limits_{l = 1}^{N_{d}}{\sum\limits_{m = 1}^{N_{d}}{\sum\limits_{k = 0}^{N_{s}^{d}}{\frac{X_{lm}\left( {n,k} \right)}{❘{X_{lm}\left( {n,k} \right)}❘}e^{{- {{j2\pi k}({{\tau({l,\theta,\phi})} - {\tau({m,\theta,\phi})}})}}/N_{s}}}}}}}$

where N_(s) ^(d)<N_(d) is the number of subbands used in the direction-of-arrival calculation.

We run additional constraints to further improve talker's direction accuracy in the conferencing solution. First, the cross-spectral density is updated if voice-activity is detected in one of the microphone signals and this voice-activity is not due to the far end audio. The voice-activity is detected using a voice-activity-detector (VAD) as shown in FIG. 9B. The “RX ONLY” state is used to indicate activity of the far end audio. To further improve the direction-of-arrival accuracy, the SRP-PHAT is calculated and the DOA determination is updated only if the local activity is present at least a few frames of audio at a stretch; otherwise the old value of the DOA determination is used for processing. This is detected by a counter that keeps track of local audio activity. The controls are described in the flow chart 1400 below in FIG. 14 .

FIG. 14 illustrates a voice activity detector process 1400 using a voice activity detector to enhance the direction of arrival determination. The voice activity detector process starts at 1402 by initializing the cross spectral density (CSD) and initializing the counter. The next step 1404 has the voice activity detector check to see if there is voice activity. If there is no voice activity, the counter is reset to zero 1406, and the process starts over. If there is voice activity, the next step 1408 checks to see if the state is set. One embodiment of the disclosed invention uses the “RX ONLY” state. Another embodiment may use the “DOUBLE TALK” state. Additional states and/or combinations of states are also possible. If yes, the counter is reset to zero 1410 and the process starts over. If not, then the counter is updated and the CSD's are updated 1412. The next step 1414 is to see if the counter is current (i.e., the local activity is present at least for a couple of frames of audio), if not, then process starts over. If yes, then the SRP-PHAT is calculated and the DOA determination is updated 1416 and the counter is set to zero 1418 and the process starts over.

FIG. 15 is a block diagram 1500 showing various components of the post processing module 1501 used to improve the sound quality of the audio sent to the far end. After the echo cancellation from each fixed beam, post processing is applied on each echo cancelled fixed beam independently so as to further reduce residual echo, acoustic noise, and automatically control the output level so as to improve the output sound quality for the far end listener. The post processing 1501 module receives the combined input signals 1504-1 through 1504-M. Each input signal includes 1504-1A as M Fixed Beams from the beamformer (which is also the non-echo cancelled signals), 1504-1B as M combined echo cancelled signals from the AEC, and 1504-1C as M Detector information signals from the Detector. The other input signals 1504-2 through 1504-M are similarly constructed. Starting with the combined echo cancelled beams input signal 1504-1, one operation performed is the non-linear-processing (NLP) 1520-1 process that suppresses the residual echo in the output by looking at the reference signal 1502, echo cancelled signal 1504-1B, non-echo cancelled signal 1504-1A, and detectors information 1504-1C. Another operation performed on the signal is Noise Suppression (NS) 1522-1 to produce a noise suppressed signal. And then, another operation performed on the echo suppressed signal is Automatic Level Control (ALC) 1524-1. The goal for controlling the volume level is to make soft or loud talkers sound at the same volume level. The post processed signal 1506-1 is then sent on to transmission to the far end. The other input signals 1504-2 through 1504-M are similarly processed to produce the other post processed signals 1506-2 through 1506-M. The previously mentioned types of signal processing are techniques that are known in the art and are not covered in further detail in the present disclosure.

FIG. 16 illustrates the computational complexity of various embodiments relative to the number of microphones in a beamforming microphone array. The computational complexity for various configurations and number of microphones was calculated in terms of required million-multiplications per second (MMPS). It can be seen that the computational complexity for all methods increases as the number of microphones increases. However, the increase in the computational complexity for the “beamformer first” configuration and the hybrid configuration is much smaller than that of the “AEC first” configuration. With low computational complexity, and the fact that the implementation of the hybrid configuration has less chance of errors in the echo cancellation as a talker's direction switches, the hybrid configuration represents a good balance between quality and computational complexity for audio conferencing systems.

While the present disclosure has been described in this disclosure regarding certain illustrated and described embodiments, those of ordinary skill in the art will recognize and appreciate that the present disclosure is not so limited. Rather, many additions, deletions, and modifications to the illustrated and described embodiments may be made without departing from the true scope of the invention, its spirit, or its essential characteristics as claimed along with their legal equivalents. In addition, features from one embodiment may be combined with features of another embodiment while still being encompassed within the scope of the invention as contemplated by the inventor. The described embodiments are to be considered only as illustrative and not restrictive. All changes which come within the meaning and range of equivalency of the claims are to be embraced within their scope. Disclosing the present invention is exemplary only, with the true scope of the present invention being determined by the included claims. 

1. A conferencing apparatus, comprising: a microphone array that further comprises a plurality of microphones where each microphone is configured to sense acoustic waves and the plurality of microphones are oriented to develop a corresponding plurality of microphone signals; a processor, memory, and storage operably coupled to the microphone array, the processor configured to execute the following steps: performing a beamforming operation to combine the plurality of microphone signals from the microphone array into a plurality of combined signals that is greater in number than one and less in number than the plurality of microphone signals, each of the plurality of combined signals corresponding to a different fixed beam; performing an acoustic echo cancellation operation on the plurality of combined signals to generate a plurality of combined echo cancelled signals; post processing the plurality of combined echo cancelled signals by performing at least one additional signal processing process that includes nonlinear processing, adaptive level control, and noise suppression; selecting one or more of the post processed signals for transmission to the far end where a signal selector uses the far end signal as information to inhibit the signal selector from changing the selection of the post processed signals while only the far end signal is active.
 2. The claim according to claim 1 where the voice activity detector uses the far end signal as the input and provides the output to the signal selector to inhibit changing the selected beam while the far end signal is active or the post processed signals are below a threshold.
 3. The claim according to claim 1 where the processor is further configured to enhance the direction of arrival determination with the voice activity detector.
 4. The claim according to claim 1 where the processor is further configured to perform a direction of arrival determination on the plurality of microphone signals and to select one of the post processed signals in response.
 5. The claim according to claim 1 where the processor is further configured to perform a partial acoustic echo cancellation operation on a subset of microphone signals which is greater than one and less than the plurality of microphone signals where the partial acoustic echo cancellation operation is used to determine that the microphone array is in a receive only state.
 6. The claim according to claim 1 where performing the beamforming operation includes applying beamforming weights to the signals from each microphone to achieve a desired pickup pattern that includes a main lobe and sidelobes together with nulls for each fixed beam where one or more of either the main lobe width, the sidelobe levels, or the position of one or more nulls can be controlled to attenuate noise in one particular direction while focusing the beamforming in other directions.
 7. A method to manufacture a conferencing apparatus, comprising: providing a microphone array that further comprises a plurality of microphones where each microphone is configured to sense acoustic waves and the plurality of microphones are oriented to develop a corresponding plurality of microphone signals; operably coupling a processor, memory, and storage to the microphone array, the processor configured to execute the following steps: performing a beamforming operation to combine the plurality of microphone signals from the microphone array into a plurality of combined signals that is greater in number than one and less in number than the plurality of microphone signals, each of the plurality of combined signals corresponding to a different fixed beam; performing an acoustic echo cancellation operation on the plurality of combined signals to generate a plurality of combined echo cancelled signals; post processing the plurality of combined echo cancelled signals by performing at least one additional signal processing process that includes nonlinear processing, adaptive level control, and noise suppression; selecting one or more of the post processed signals for transmission to the far end where a signal selector uses the far end signal as information to inhibit the signal selector from changing the selection of the post processed signals while only the far end signal is active.
 8. The claim according to claim 7 where the voice activity detector uses the far end signal as the input and provides the output to the signal selector to inhibit changing the selected beam while the far end signal is active or the post processed signals are below a threshold.
 9. The claim according to claim 7 where the processor is further configured to enhance the direction of arrival determination with the voice activity detector.
 10. The claim according to claim 7 where the processor is further configured to perform a direction of arrival determination on the plurality of microphone signals and to select one of the post processed signals in response.
 11. The claim according to claim 7 where the processor is further configured to perform a partial acoustic echo cancellation operation on a subset of microphone signals which is greater than one and less than the plurality of microphone signals where the partial acoustic echo cancellation operation is used to determine that the microphone array is in a receive only state.
 12. The claim according to claim 7 where performing the beamforming operation includes applying beamforming weights to the signals from each microphone to achieve a desired pickup pattern that includes a main lobe and sidelobes together with nulls for each fixed beam where one or more of either the main lobe width, the sidelobe levels, or the position of one or more nulls can be controlled to attenuate noise in one particular direction while focusing the beamforming in other directions.
 13. A method to use a conferencing apparatus, comprising: sensing acoustic waves with a microphone array that further comprises a plurality of microphones where the plurality of microphones are oriented to develop a corresponding plurality of microphone signals; providing a processor, memory, and storage operably coupled to the microphone array, the processor configured to execute the following steps: performing a beamforming operation to combine the plurality of microphone signals from the microphone array into a plurality of combined signals that is greater in number than one and less in number than the plurality of microphone signals, each of the plurality of combined signals corresponding to a different fixed beam; performing an acoustic echo cancellation operation on the plurality of combined signals to generate a plurality of combined echo cancelled signals; post processing the plurality of combined echo cancelled signals by performing at least one additional signal processing process that includes nonlinear processing, adaptive level control, and noise suppression; selecting one or more of the post processed signals for transmission to the far end where a signal selector uses the far end signal as information to inhibit the signal selector from changing the selection of the post processed signals while only the far end signal is active.
 14. The claim according to claim 13 where the voice activity detector uses the far end signal as the input and provides the output to the signal selector to inhibit changing the selected beam while the far end signal is active or the post processed signals are below a threshold.
 15. The claim according to claim 13 where the processor is further configured to enhance the direction of arrival determination with the voice activity detector.
 16. The claim according to claim 13 where the processor is further configured to perform a direction of arrival determination on the plurality of microphone signals and to select one of the post processed signals in response.
 17. The claim according to claim 13 where the processor is further configured to perform a partial acoustic echo cancellation operation on a subset of microphone signals which is greater than one and less than the plurality of microphone signals where the partial acoustic echo cancellation operation is used to determine that the microphone array is in a receive only state.
 18. The claim according to claim 13 where performing the beamforming operation includes applying beamforming weights to the signals from each microphone to achieve a desired pickup pattern that includes a main lobe and sidelobes together with nulls for each fixed beam where one or more of either the main lobe width, the sidelobe levels, or the position of one or more nulls can be controlled to attenuate noise in one particular direction while focusing the beamforming in other directions.
 19. A non-transitory program storage device readable by a computing device that tangibly embodies a program of instructions executable by the computing device to perform a method to use a conferencing apparatus, comprising: sensing acoustic waves with a microphone array that further comprises a plurality of microphones where the plurality of microphones are oriented to develop a corresponding plurality of microphone signals; providing a processor, memory, and storage operably coupled to the microphone array, the processor configured to execute the following steps: performing a beamforming operation to combine the plurality of microphone signals from the microphone array to a plurality of combined signals that is greater in number than one and less in number than the plurality of microphone signals, each of the plurality of combined signals corresponding to a different fixed beam; performing an acoustic echo cancellation operation on the plurality of combined signals to generate a plurality of combined echo cancelled signals; post processing the plurality of combined echo cancelled signals by performing at least one additional signal processing process that includes nonlinear processing, adaptive level control, and noise suppression; selecting one of the post processed signals for transmission to the far end where a signal selector uses the far end signal as information to inhibit the signal selector from changing the selection of the post processed signals while only the far end signal is active.
 20. The claim according to claim 19 where the voice activity detector uses the far end signal as the input and provides the output to the signal selector to inhibit changing the selected beam while the far end signal is active or the post processed signals are below a threshold.
 21. The claim according to claim 19 where the processor is further configured to enhance the direction of arrival determination with the voice activity detector.
 22. The claim according to claim 19 where the processor is further configured to perform a direction of arrival determination on the plurality of microphone signals and to select one of the post processed signals in response.
 23. The claim according to claim 19 where the processor is further configured to perform a partial acoustic echo cancellation operation on a subset of microphone signals which is greater than one and less than the plurality of microphone signals where the partial acoustic echo cancellation operation is used to determine that the microphone array is in a receive only state.
 24. The claim according to claim 19 where performing the beamforming operation includes applying beamforming weights to the signals from each microphone to achieve a desired pickup pattern that includes a main lobe and sidelobes together with nulls for each fixed beam where one or more of either the main lobe width, the sidelobe levels, or the position of one or more nulls can be controlled to attenuate noise in one particular direction while focusing the beamforming in other directions.
 25. A conferencing apparatus, comprising: means for sensing acoustic waves with a microphone array that further comprises a plurality of microphones where the plurality of microphones are oriented to develop a corresponding plurality of microphone signals; a processor, memory, and storage operably coupled to the microphone array, the processor configured to execute the following steps: performing a beamforming operation to combine the plurality of microphone signals from the microphone array into a plurality of combined signals that is greater in number than one and less in number than the plurality of microphone signals, each of the plurality of combined signals corresponding to a different fixed beam; performing an acoustic echo cancellation operation on the plurality of combined signals to generate a plurality of combined echo cancelled signals; post processing the plurality of combined echo cancelled signals by performing at least one additional signal processing process that includes nonlinear processing, adaptive level control, and noise suppression; selecting one or more of the post processed signals for transmission to the far end where a signal selector uses the far end signal as information to inhibit the signal selector from changing the selection of the post processed signals while only the far end signal is active.
 26. The claim according to claim 25 where the voice activity detector uses the far end signal as the input and provides the output to the signal selector to inhibit changing the selected beam while the far end signal is active or the post processed signals are below a threshold.
 27. The claim according to claim 25 where the processor is further configured to enhance the direction of arrival determination with the voice activity detector.
 28. The claim according to claim 25 where the processor is further configured to perform a direction of arrival determination on the plurality of microphone signals and to select one of the post processed signals in response.
 29. The claim according to claim 25 where the processor is further configured to perform a partial acoustic echo cancellation operation on a subset of microphone signals which is greater than one and less than the plurality of microphone signals where the partial acoustic echo cancellation operation is used to determine that the microphone array is in a receive only state.
 30. The claim according to claim 25 where performing the beamforming operation includes applying beamforming weights to the signals from each microphone to achieve a desired pickup pattern that includes a main lobe and sidelobes together with nulls for each fixed beam where one or more of either the main lobe width, the sidelobe levels, or the position of one or more nulls can be controlled to attenuate noise in one particular direction while focusing the beamforming in other directions. 